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Highest Paying Computer Science Jobs in Hopkins, MN

... payer targeting and coverage expansion opportunities Train commercial team users on how to ... Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a ...

Bachelor's degree in Information Systems, Healthcare Administration, Computer Science, or related ... Preferred to have knowledge of healthcare payer eligibility and authorization processes. Looking ...

... scientists. The primary role of this position is to provide design and drafting support for ... Coloplast employees are required to conduct business to the highest ethical and professional ...

... scientists. The primary role of this position is to provide design and drafting support for ... Coloplast employees are required to conduct business to the highest ethical and professional ...

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Highest Paying Computer Science information

See Hopkins, MN salary details

$37K

$66.5K

$123.3K

How much do highest paying computer science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for highest paying computer science in Hopkins, MN is $66,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $70,500.00 per year, depending on experience, location, and employer.

What is the highest paying computer science job?

The highest paying jobs in computer science often include roles such as software architect, machine learning engineer, data scientist, IT manager, and cloud solutions architect. These positions typically require advanced technical skills and may involve leadership responsibilities. Compensation can vary based on experience, education, industry, and geographic location, but these roles consistently offer some of the highest salaries in the tech sector. Many of these jobs also provide opportunities for growth and specialization.

What types of projects and responsibilities can I expect in the highest paying computer science roles?

In the highest paying computer science positions, such as those in machine learning, artificial intelligence, or cybersecurity, you can expect to work on complex, high-impact projects that drive business innovation or protect critical data. Typical responsibilities include designing scalable algorithms, building and optimizing large systems, and collaborating closely with cross-functional teams like data scientists, product managers, and engineers. These roles often require staying current with emerging technologies and solving challenging technical problems, making adaptability and continuous learning essential. You may also have opportunities to mentor junior staff and lead technical initiatives, which can accelerate your career growth.

What are the key skills and qualifications needed to thrive in the highest paying computer science roles, and why are they important?

To excel in the highest paying computer science roles, you typically need expertise in computer programming, systems design, and algorithm development, supported by a bachelor's or master's degree in computer science or related fields. Proficiency with advanced programming languages (like Python, Java, or C++), cloud platforms, and relevant certifications (such as AWS Certified Solutions Architect or Certified Information Systems Security Professional) is highly valued. Exceptional problem-solving abilities, strong analytical thinking, and effective collaboration skills help professionals stand out in these competitive positions. These capabilities are crucial for innovating, building robust software solutions, and driving business success in a rapidly evolving tech landscape.
What cities near Hopkins, MN are hiring for Highest Paying Computer Science jobs? Cities near Hopkins, MN with the most Highest Paying Computer Science job openings:
Infographic showing various Highest Paying Computer Science job openings in Hopkins, MN as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $66,450 per year, or $31.9 per hour.

Data Scientist

Tactile Medical

Minneapolis, MN • On-site

Full-time

Re-posted 28 days ago


Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Position Summary
The Marketing Data Scientist is the predictive intelligence engine of TCMD's Marketing and Market Access organization. The primary work is finding connections in TCMD's data that no one has looked for yet, building predictive models, and translating validated models into forward-looking tools. This individual synthesizes insights from Tactile's internal and external data platforms to develop and explore hypotheses for growth. The role's mission is to surface predictive insights from these systems that inform commercial strategy before decisions are finalized. This role collaborates closely with marketing and market access leadership along with sales excellence and commercial leadership.

Accountabilities & Responsibilities
Exploratory analysis, hypothesis generation, feature engineering, model construction, and validation
Build and validate predictive models using appropriate machine learning and statistical methodologies
Translating validated models into forward-looking dashboards or automated scoring systems that are consumed with ease by stakeholders
Partner across the marketing organization to develop campaign lift attribution; building causal inference models isolating incremental referral lift from specific marketing programs
Develop predictive analytics supporting payer targeting and coverage expansion opportunities
Train commercial team users on how to interpret and act on model outputs and the specific decisions the model is designed to support
Communicate within marketing and market access on status of model pipeline and backlog; routinely collect voice of internal stakeholder needs to drive continuous improvement in data driven decision making
Manage assigned projects to completion on time, within scope, and within budget.
Other duties as assigned.

Qualifications

Required:
Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations
4-7 years applied data science or machine learning experience, applied in commercial or operational environments
Experience creating predictive models for non-data-scientists to make real commercial or operational decisions
Comfort with messy healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language
Expert-level modern data science skills in Python and SQL working with structured data and machine-learning frameworks; version-controlled code development and deployment
Ability to transform messy, real-world healthcare data with missing values, inconsistent coding, and multiple granularities into reliable predictive model inputs
Working knowledge of Salesforce CRM architecture, healthcare claims data, Power BI/Fabric deployment environments

Preferred:
Master's or PhD in quantitative field
Understanding of referral-based commercial models, payer coverage dynamics, prior authorization processes, and DME/medical device reimbursement
Survival analysis experience - has applied time-to-event modeling in a commercial context (e.g., customer churn, time-to-conversion, time-to-renewal). Particularly relevant for funnel stage duration modeling and HCP churn prediction
Salesforce data architecture familiarity - understands the Salesforce object model well enough to write efficient queries and build reliable features from CRM data without requiring a Salesforce administrator to extract data
Power BI or Tableau development experience sufficient to deploy model scoring outputs as operational dashboards
Experience in a B2B2C or referral-based commercial model where the customer and the end user are different


What Tactile Medical employees say

Pay

Benefits

Hours and flexibility

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